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PodcastGuestResearcher - Auto-Brief Package for Podcast Hosts

Podcast hosts spend 4 hours researching each guest before an interview. PodcastGuestResearcher does it in 2 minutes: auto-generates guest bios, talking points, previous podcast clips, and a prepared script segment—all fed into your doc the night before recording.

Difficulty

low-code

Category

Content Creation

Market Demand

High

Revenue Score

7/10

Vibe Code Friendly

⚡ Yes

Overview

Hosts give the system a guest name and episode topic. The system scrapes their LinkedIn Twitter website and previous podcast appearances, aggregates information, identifies 8-10 smart talking points, pulls relevant clips from their previous podcast interviews using transcripts, and generates a host script intro. No more generic guest bios. No more awkward silences because the host didn't know a key fact. The research pack drops into a Notion doc overnight. Hosts prep in 15 minutes instead of 4 hours.

Key Features

  • Guest bio and background auto-research
  • Talking point generation from multiple sources
  • Previous podcast appearance clips pulled with timestamps
  • Host intro script auto-generation
  • Notion doc integration
  • Email delivery of research pack

Target Audience

Podcast hosts with 5000+ monthly listeners. Estimated 18000 podcasts in this tier in US.

Tech Stack

Python FastAPI Claude for research and script generation Supabase Stripe Twitter API LinkedIn scraper podcasting data APIs - build with Cursor for backend Lovable for dashboard

Time to Ship

2 weeks

Business Model

SaaS subscription per-episode or monthly pricing

Required Skills

Web scraping Claude API Notion API podcast data integration

Resources

Claude docs web scraping libraries Notion API podcasting platforms

Monetization Path

Free tier generates one research pack per month. Paid at 99 per month for unlimited packs plus script generation.

Competition Level

Very Low

Estimated Monthly Cost

Claude API 50 web scraping service 20 Notion API 5 Stripe fees 25 basic hosting 15 total roughly 115 per month at launch

Revenue Potential

99 per month for weekly podcasters. Month 2: 80 podcasters equals 7920 MRR. Month 5: 250 podcasters equals 24750 MRR.

Build It Right

Core User Journey

Enter guest name receive research pack in Notion within 2 hours upgrade to paid.

Success Definition

A podcast host with no prior connection to us discovers the product uses it for a guest booking sees measurable time savings and upgrades to paid within 14 days.

Architecture Pattern

User submits guest name via form. Queue job triggers web scraper Claude research generator video clip finder. Results collate into Notion template. Email notification sent to user.

Integration Points

Notion API for doc creation Claude API for research and scripting Twitter API LinkedIn data source podcast transcript databases Stripe for payments

Data Model

User has many Podcasts. Podcast has many Episodes. Episode has one GuestProfile. GuestProfile has one ResearchPack. ResearchPack aggregates data from multiple sources.

Avoid These Pitfalls

Do not build from-scratch podcast clip finding. Use existing APIs. Research quality varies wildly by guest prominence. Set expectations clearly. Do not promise real-time updates as initial feature.

V1 Scope Boundaries

V1 excludes team collaboration guest database CRM integration live scheduling custom research prompts API for third parties

Example Use Case

Jordan hosts a 50k-listener tech podcast. His next guest is a startup founder he found through a recommendation. Usually Jordan spends 3 hours reading the founder's Twitter history blog posts and past interviews. This time he uses PodcastGuestResearcher. The system finds the founder's LinkedIn pulls 12 previous podcast appearances extracts key quotes and talking points and drops a research brief with script suggestions into Jordan's Notion. He reads it in 15 minutes instead of 3 hours and records a tighter more conversational episode.

Challenges

Web scraping reliability and staying up-to-date with site changes. Finding high-quality previous podcast clips. Handling guests with minimal online presence.

Success Metrics

Week 1: 120 signups. Week 2: 20 paid. Month 1: 60 paid 85 percent retention.

MVP Scope

Guest info aggregation from public sources. Claude-based talking points. Notion integration. Email delivery. Stripe billing.

Launch & Validation Plan

Survey 25 podcast hosts. Build landing page. Get 5 beta podcasters to use for 3 episodes each. Measure time saved and satisfaction.

Customer Acquisition Strategy

First customer: DM 30 podcast hosts on Twitter with free research pack for their next guest. Then: Podcast networks Podpage communities Twitter podcasting communities Reddit r/podcasting.

Competitive Advantage

Only tool purpose-built for this exact workflow. Auto-finds previous podcast clips which no competitor does. Integrated into Notion not a separate app.

Similar Products

ChatGPT for research no automation. Fountain.fm for guest management no research focus. Gap: nothing auto-generates research packs specifically for podcast prep.

Regulatory Risks

Low regulatory risk. Web scraping must respect robots.txt and terms of service. No sensitive data handling.

Revenue Timeline

First dollar week 3 via beta. 1k MRR month 2. 5k MRR month 5.

Scalability

High. Can handle 10000 research requests per month easily.

Profit Potential

Full-time viable. 5k to 18k MRR realistic by month 6.